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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. 5915
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    Explanations

    representatives or officials mentioned in different contexts or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    terms related to representatives and authoritative figures in various contexts

    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
    ERY
    -0.71
    bum
    -0.70
    APTER
    -0.62
    CEPT
    -0.60
    Population
    -0.59
    ennial
    -0.58
    DonaldTrump
    -0.57
     1910
    -0.57
    rome
    -0.56
    bows
    -0.56
    POSITIVE LOGITS
     of
    0.88
     affiliated
    0.83
     thereof
    0.82
     consulted
    0.79
     representing
    0.77
     tasked
    0.76
    hips
    0.74
     briefed
    0.71
    doms
    0.67
     priv
    0.66
    Activations Density 0.217%

    No Known Activations