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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. 7059
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    Explanations

    references to specific entities or concepts within longer texts

    oai_token-act-pair · gpt-3.5-turbo

    key terms and concepts related to reports and investigations

    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
     Learns
    -0.75
     Kills
    -0.70
     alloc
    -0.66
    laughs
    -0.60
    ushes
    -0.59
     Moves
    -0.59
    Ö¼
    -0.58
     fears
    -0.57
     Gets
    -0.55
     Has
    -0.55
    POSITIVE LOGITS
     are
    1.53
     were
    1.43
     abound
    1.42
     aren
    1.37
     weren
    1.32
     vary
    1.25
    were
    1.23
     differ
    1.13
     include
    1.12
     seem
    1.10
    Activations Density 1.455%

    No Known Activations