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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. 3-RES-JB
    11. 20642
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    Explanations

    expressions of pride or positive affirmations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of pride

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PF
    -0.79
    apter
    -0.74
     Webster
    -0.68
    EW
    -0.66
    UA
    -0.66
    CPU
    -0.65
    intestinal
    -0.65
    devices
    -0.65
    ohm
    -0.64
    Phones
    -0.63
    POSITIVE LOGITS
    roud
    0.91
    ledged
    0.81
    edIn
    0.80
    hon
    0.79
     proud
    0.77
    edly
    0.76
     citiz
    0.69
     Proud
    0.68
    kson
    0.68
    ledge
    0.67
    Activations Density 0.008%

    No Known Activations