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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. 11-RES-JB
    11. 9066
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    Explanations

    phrases containing specific names or nicknames

    oai_token-act-pair · gpt-3.5-turbo

    terms related to identity and self-identification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isconsin
    -0.71
    artifacts
    -0.70
    rontal
    -0.68
    htaking
    -0.67
    roid
    -0.67
    nesty
    -0.66
    gression
    -0.63
    uala
    -0.62
    ertodd
    -0.62
    ahoo
    -0.62
    POSITIVE LOGITS
     abbre
    0.95
     acronym
    0.94
     euphem
    0.82
     shorthand
    0.80
     abbrevi
    0.80
     initials
    0.78
     appropriately
    0.77
     shortened
    0.76
     acron
    0.76
     approximation
    0.75
    Activations Density 0.175%

    No Known Activations