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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. 8-RES-JB
    11. 22388
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    Explanations

    phrases related to warnings or negative consequences

    oai_token-act-pair · gpt-3.5-turbo

    elements related to quantity or numerical values associated with various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -0.64
    obo
    -0.60
    Fat
    -0.60
    agon
    -0.58
    Port
    -0.58
    uder
    -0.58
    Ton
    -0.57
    Mor
    -0.56
    OB
    -0.56
    mitter
    -0.55
    POSITIVE LOGITS
     and
    0.98
    and
    0.98
     AND
    0.87
    &
    0.78
     &
    0.76
    andi
    0.74
    andan
    0.72
    soType
    0.72
     partName
    0.70
    ands
    0.67
    Activations Density 0.156%

    No Known Activations