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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. 7-RES-JB
    11. 13974
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    Explanations

    references to legal actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    personal anecdotes and reflections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.69
    Built
    -0.61
    entimes
    -0.60
    lication
    -0.55
    Safety
    -0.54
    Used
    -0.54
    ranged
    -0.53
    KNOWN
    -0.53
    Usage
    -0.53
     (%)
    -0.53
    POSITIVE LOGITS
     Chomsky
    0.86
     reader
    0.68
     Orwell
    0.63
     Polit
    0.61
     Krugman
    0.61
     POLIT
    0.61
     incred
    0.60
     irony
    0.60
     conject
    0.58
     readers
    0.58
    Activations Density 1.502%

    No Known Activations