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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. 6597
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    Explanations

    mentions of specific names or technical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific products or individuals related to popular media

    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
    nesday
    -0.79
    inen
    -0.78
    alties
    -0.77
    rha
    -0.76
    mingham
    -0.75
    doms
    -0.74
    HCR
    -0.73
    reys
    -0.71
    cheon
    -0.71
    arial
    -0.71
    POSITIVE LOGITS
     OnePlus
    0.78
     Tone
    0.73
    Ô
    0.69
    bags
    0.66
     Manz
    0.64
    cycles
    0.64
     Pharma
    0.60
     Gamble
    0.58
    ONES
    0.58
     acceler
    0.57
    Activations Density 0.021%

    No Known Activations