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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. 4895
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    Explanations

    verbs related to actions of removing, getting rid of, or eliminating something

    oai_token-act-pair · gpt-3.5-turbo

    words related to states of cleanliness or finish

    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
    sen
    -0.71
    bee
    -0.68
    AMY
    -0.65
     reorgan
    -0.65
     vitro
    -0.64
    quarters
    -0.64
    sites
    -0.63
    enos
    -0.60
    ppard
    -0.59
     vivo
    -0.59
    POSITIVE LOGITS
    ishes
    0.98
    ished
    0.95
    ishing
    0.90
    ishment
    0.88
    »Ĵ
    0.87
    enment
    0.85
    ãĤ¨ãĥ«
    0.84
    ando
    0.83
    ments
    0.82
     Pwr
    0.82
    Activations Density 0.022%

    No Known Activations