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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
    11. 22486
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    Explanations

    phrases related to causality or attribution

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causality or reasons for occurrences

    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
    anon
    -0.71
    jc
    -0.69
    amps
    -0.67
    amped
    -0.66
    ++)
    -0.66
    JC
    -0.66
    =-=-=-=-=-=-=-=-
    -0.65
    alon
    -0.63
    aps
    -0.63
    asp
    -0.63
    POSITIVE LOGITS
    */(
    0.93
     diligence
    0.85
    ration
    0.70
    giving
    0.68
     dilig
    0.67
    laws
    0.66
    cientious
    0.65
    ioned
    0.65
    ority
    0.63
    endment
    0.62
    Activations Density 0.019%

    No Known Activations