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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. 3491
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    INDEX
    Explanations

    prepositions and phrases related to specific actions or states

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a conditional or hypothetical statement

    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
    abouts
    -0.66
    rollers
    -0.64
    ersed
    -0.63
    weights
    -0.61
     Tsukuyomi
    -0.60
    tracks
    -0.60
    neys
    -0.60
    çļ
    -0.60
    checks
    -0.59
    wives
    -0.59
    POSITIVE LOGITS
     say
    1.13
     imply
    0.94
     diminish
    0.90
     suggest
    0.90
     conclude
    0.81
     SAY
    0.77
     clarify
    0.76
     negate
    0.75
     compensate
    0.74
    Say
    0.74
    Activations Density 0.099%

    No Known Activations