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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. 14085
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    INDEX
    Explanations

    words related to observations or opinions about various situations or topics

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating perception or opinion

    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
    estern
    -0.88
    ests
    -0.79
    ilts
    -0.77
    aughs
    -0.68
    ioch
    -0.66
    ffen
    -0.66
    ogi
    -0.66
    ainers
    -0.65
    opers
    -0.64
    ilings
    -0.63
    POSITIVE LOGITS
     innocuous
    1.03
     awfully
    1.02
     oddly
    0.99
     strangely
    0.93
     poised
    0.89
     destined
    0.88
     unlikely
    0.88
     unstoppable
    0.88
     like
    0.87
     unbeat
    0.83
    Activations Density 0.070%

    No Known Activations