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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 8134
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    Explanations

    phrases or sentences describing different actions or movements involving someone or something accompanying others

    oai_token-act-pair · gpt-3.5-turbo

    instances of "with" referencing a person or object in a context of arrival or presence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insula
    -0.73
    estate
    -0.69
    Connect
    -0.66
    ghai
    -0.66
    ividual
    -0.66
    adj
    -0.66
    ertain
    -0.64
     Specifically
    -0.64
    etts
    -0.64
     distinguishes
    -0.63
    POSITIVE LOGITS
    stood
    1.15
    drawn
    1.12
     impunity
    1.06
    draw
    1.01
     handcuffs
    0.96
     torches
    0.95
    standing
    0.94
     nowhere
    0.91
     dignity
    0.89
     luggage
    0.88
    Activations Density 0.145%

    No Known Activations