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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. 1801
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    Explanations

    terms related to various projects and items

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to projects, items, and entities in various contexts

    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
    cation
    -0.71
    enment
    -0.69
    ALLY
    -0.65
    \\\\\\\\
    -0.65
    roo
    -0.61
    lessly
    -0.60
    wise
    -0.60
    lance
    -0.59
    OUS
    -0.59
    ntil
    -0.58
    POSITIVE LOGITS
     themselves
    1.36
    etter
    1.10
    hips
    1.06
    hip
    1.06
    '
    0.99
    heet
    0.96
    etting
    0.96
    cape
    0.95
    uits
    0.88
     listed
    0.88
    Activations Density 0.376%

    No Known Activations