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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. 1-RES-JB
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    Explanations

    proper nouns related to sports figures and organizations, especially focusing on names like "Gronkowski" and "Byron."

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endment
    -0.71
    psc
    -0.65
    aeda
    -0.65
     edited
    -0.64
    Fed
    -0.62
     Adobe
    -0.62
    mits
    -0.61
    ainment
    -0.60
    ential
    -0.59
    orney
    -0.59
    POSITIVE LOGITS
     Gron
    1.24
    ingen
    1.04
    kowski
    0.93
    ometers
    0.85
    esse
    0.83
    vous
    0.83
    ocket
    0.81
    Ò
    0.77
    izont
    0.77
    nl
    0.76
    Activations Density 0.007%

    No Known Activations