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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. 7-RES-JB
    11. 18768
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    Explanations

    proper nouns or entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific "case" studies or cases in general

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.75
    resent
    -0.74
     destro
    -0.73
    nesday
    -0.71
    ower
    -0.71
    rush
    -0.70
    emouth
    -0.69
    uctions
    -0.68
    etsk
    -0.68
    onder
    -0.68
    POSITIVE LOGITS
    cases
    0.90
    esan
    0.87
    cmp
    0.80
     Keen
    0.74
    backs
    0.73
    arella
    0.72
    case
    0.71
     McA
    0.71
    suit
    0.70
     Kas
    0.69
    Activations Density 0.042%

    No Known Activations