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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. 11-RES-JB
    11. 24065
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    Explanations

    words related to modification or alteration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to processes of transformation or assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    berries
    -0.72
     challeng
    -0.71
    YS
    -0.68
    ï¸
    -0.62
    rock
    -0.62
    åŃIJ
    -0.61
    NetMessage
    -0.61
     Dirt
    -0.60
    ILY
    -0.59
    LOS
    -0.58
    POSITIVE LOGITS
    ation
    3.05
    ations
    2.70
    ated
    2.30
    ating
    2.25
    ators
    2.20
    ATION
    2.10
    ator
    2.08
    ative
    2.05
    ATIONS
    1.99
    atory
    1.96
    Activations Density 0.230%

    No Known Activations