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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. 11-RES-JB
    11. 5330
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    INDEX
    Explanations

    words related to specific characteristics or traits within a context

    oai_token-act-pair · gpt-3.5-turbo

    components, characteristics, and qualities related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĥİ
    -0.78
    untarily
    -0.70
    panic
    -0.66
    uesday
    -0.64
     Volunte
    -0.63
    UTE
    -0.60
     Spray
    -0.60
     ACTIONS
    -0.59
     batches
    -0.58
    ulp
    -0.57
    POSITIVE LOGITS
     attached
    1.02
     comparable
    0.99
    notations
    0.97
     unlike
    0.90
     resemb
    0.89
     resemblance
    0.88
     compared
    0.86
     embedded
    0.83
     built
    0.83
     reminiscent
    0.82
    Activations Density 0.386%

    No Known Activations