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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. 11-RES-JB
    11. 12740
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    INDEX
    Explanations

    words indicating a request for action or attention

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases indicating hypothetical situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.81
    otom
    -0.76
    natureconservancy
    -0.68
    æ©
    -0.65
    Variable
    -0.63
    emon
    -0.63
    leader
    -0.62
    })
    -0.60
    keyes
    -0.59
    hs
    -0.59
    POSITIVE LOGITS
     you
    1.51
     anyone
    1.09
     YOU
    1.05
     ya
    1.04
     interested
    1.03
     anybody
    1.03
     your
    1.01
     yours
    1.01
    you
    0.90
    rame
    0.88
    Activations Density 0.081%

    No Known Activations