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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. 4-RES-JB
    11. 7319
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    Explanations

    keywords related to environments or advantageous positions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental contexts and conditions

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

    No Comments

    Negative Logits
    Reviewer
    -0.88
    butt
    -0.84
     actionGroup
    -0.73
    soever
    -0.71
    head
    -0.70
    TPPStreamerBot
    -0.69
    quartered
    -0.69
    dress
    -0.68
    Ô
    -0.67
    Scient
    -0.65
    POSITIVE LOGITS
    isions
    1.17
     env
    1.10
    ENTION
    0.96
    env
    0.90
    urable
    0.85
    igrated
    0.83
    ours
    0.82
    utions
    0.81
    ision
    0.81
    IOR
    0.81
    Activations Density 0.008%

    No Known Activations