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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. 10-RES-JB
    11. 1314
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    Explanations

    titles or headers containing the word "Introduction"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "introduction" or its variations indicating introductory content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ike
    -0.75
    rone
    -0.73
    ikes
    -0.69
    rage
    -0.69
    rio
    -0.64
     sclerosis
    -0.63
     bearer
    -0.63
    Joined
    -0.63
    rie
    -0.62
    Ranked
    -0.62
    POSITIVE LOGITS
    spection
    1.15
     thereto
    1.15
    matter
    0.94
    spective
    0.91
    ctory
    0.91
    plates
    0.75
     to
    0.72
     Jav
    0.72
    xual
    0.72
    hesis
    0.71
    Activations Density 0.065%

    No Known Activations