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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. 9-RES-JB
    11. 18136
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    INDEX
    Explanations

    phrases referring to entities or concepts that are superlative or crucial

    oai_token-act-pair · gpt-3.5-turbo

    recurring phrases that emphasize importance or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    APTER
    -0.79
    hander
    -0.77
    hyde
    -0.73
    bender
    -0.68
    FILE
    -0.67
    tg
    -0.65
    eanor
    -0.64
    vernment
    -0.63
    cation
    -0.62
    brance
    -0.62
    POSITIVE LOGITS
     ones
    1.52
     pillars
    1.16
     staples
    1.11
     embodiments
    1.07
    stones
    1.06
     anchors
    1.05
     beneficiaries
    1.03
     remnants
    1.02
     kinds
    1.01
     originals
    1.01
    Activations Density 0.140%

    No Known Activations