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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. 6-RES-JB
    11. 3055
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    Explanations

    questions addressed to the reader

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of second person pronouns and questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.83
    ces
    -0.77
    ricting
    -0.72
    Par
    -0.72
    ItemTracker
    -0.70
     Making
    -0.67
    atlantic
    -0.67
     Heads
    -0.66
    ching
    -0.66
    haven
    -0.66
    POSITIVE LOGITS
     accept
    0.92
     be
    0.89
     suffice
    0.87
     overwrite
    0.84
     succeed
    0.82
     recognise
    0.81
     avail
    0.80
     prescribe
    0.79
     abandon
    0.79
     decide
    0.79
    Activations Density 0.053%

    No Known Activations