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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. 2-RES-JB
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    Explanations

    instances of the word "ahan" with varying degrees of intensity

    oai_token-act-pair · gpt-3.5-turbo

    the name "Mahan" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unders
    -0.71
    unal
    -0.70
     pse
    -0.69
    piration
    -0.68
    ection
    -0.64
     nep
    -0.63
    pires
    -0.63
     unden
    -0.63
    ugal
    -0.62
    endant
    -0.62
    POSITIVE LOGITS
    igans
    1.31
    ahan
    1.16
    igan
    1.14
    ufact
    0.85
    hattan
    0.84
    agher
    0.78
    ahu
    0.77
    uin
    0.76
    abal
    0.72
    ostic
    0.72
    Activations Density 0.007%

    No Known Activations