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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. 12088
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    INDEX
    Explanations

    phrases referring to detailed explanations or itemized lists

    oai_token-act-pair · gpt-3.5-turbo

    instances of detailed analyses or assessments

    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
    Shar
    -0.84
    eno
    -0.76
    alty
    -0.69
    ñ
    -0.68
    qua
    -0.67
    adena
    -0.67
    odore
    -0.66
    nery
    -0.66
    esthetic
    -0.66
    ittee
    -0.64
    POSITIVE LOGITS
     breakdown
    0.98
    sie
    0.91
    DOWN
    0.87
    s
    0.75
    opian
    0.74
     conversions
    0.73
    neck
    0.70
    chart
    0.68
    urst
    0.67
     tables
    0.66
    Activations Density 0.007%

    No Known Activations