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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 7520
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    Explanations

    mentions of events or actions happening early in time

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "early" and its related contexts

    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
    retched
    -0.79
    atism
    -0.74
    ourge
    -0.71
    opted
    -0.71
    dain
    -0.70
    mbuds
    -0.70
    shall
    -0.69
    erie
    -0.69
    utenberg
    -0.68
    uyomi
    -0.68
    POSITIVE LOGITS
     adop
    0.82
     afternoon
    0.78
     stages
    0.77
     onset
    0.77
     morning
    0.76
     enough
    0.76
     phases
    0.74
     mornings
    0.73
     early
    0.70
     termination
    0.70
    Activations Density 0.026%

    No Known Activations