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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. 1-RES-JB
    11. 463
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    INDEX
    Explanations

    strong, impactful, or forceful actions or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to aggressive or intense actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abet
    -0.98
    NSA
    -0.78
    neys
    -0.78
    poral
    -0.76
     relay
    -0.75
    icipated
    -0.74
    endi
    -0.73
    rence
    -0.72
    ries
    -0.72
    izont
    -0.72
    POSITIVE LOGITS
     hammered
    0.92
     pounded
    0.87
    uled
    0.84
    terness
    0.76
     pounding
    0.72
     Accounts
    0.68
    romeda
    0.67
     millenn
    0.66
     Lans
    0.66
    ategory
    0.65
    Activations Density 0.027%

    No Known Activations