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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. 5644
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    Explanations

    past or future actions that were anticipated or not previously considered

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to past actions or states of being

    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
    oper
    -0.68
    oster
    -0.61
    otic
    -0.61
    oyle
    -0.60
    wall
    -0.58
     directory
    -0.58
    rouse
    -0.58
    ulum
    -0.55
    Dialogue
    -0.55
     association
    -0.54
    POSITIVE LOGITS
    hes
    1.46
     formerly
    1.24
     originally
    1.22
     previously
    1.16
    hers
    1.00
     conceived
    0.97
     invented
    0.96
    wolves
    0.95
     once
    0.95
     born
    0.93
    Activations Density 0.292%

    No Known Activations