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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. 22740
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    Explanations

    keywords related to physical attributes or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to physical attributes or conditions

    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
    ungle
    -0.76
    adish
    -0.76
    stellar
    -0.75
    ered
    -0.73
    later
    -0.72
    quist
    -0.72
    shire
    -0.71
    bare
    -0.69
    UNE
    -0.68
    ervative
    -0.66
    POSITIVE LOGITS
    ity
    1.06
     manifestation
    1.00
     impossibility
    0.96
     altercation
    0.90
     attractiveness
    0.87
     embodiment
    0.84
    ized
    0.84
    isation
    0.84
    ité
    0.84
     sciences
    0.82
    Activations Density 0.033%

    No Known Activations