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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. 9-RES-JB
    11. 13496
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    Explanations

    verbs related to investigating or analyzing actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to assessment and examination processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    letters
    -0.64
     understatement
    -0.64
     invitation
    -0.63
     uncanny
    -0.61
     impression
    -0.59
     beginnings
    -0.58
     recognition
    -0.58
     Tale
    -0.57
     trailing
    -0.56
     invitations
    -0.56
    POSITIVE LOGITS
     separately
    1.08
     individually
    1.03
     by
    0.93
    ertodd
    0.90
    uled
    0.87
     extensively
    0.85
     Parenthood
    0.85
     anew
    0.85
     thoroughly
    0.84
    igious
    0.84
    Activations Density 0.171%

    No Known Activations