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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. 24500
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    Explanations

    phrases related to the usage or properties of polar compounds or solvents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to polarity and polar compounds

    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
    CHA
    -0.93
    ARR
    -0.77
    displayText
    -0.73
    ilt
    -0.71
    Assembly
    -0.69
    DIV
    -0.69
    VP
    -0.69
    idy
    -0.68
    urai
    -0.67
    udeb
    -0.67
    POSITIVE LOGITS
    hyde
    1.32
    ized
    0.97
    idad
    0.95
    ity
    0.88
     Union
    0.83
    oid
    0.83
    izing
    0.81
    oids
    0.81
    bucks
    0.80
    ities
    0.78
    Activations Density 0.008%

    No Known Activations