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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. 5305
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    Explanations

    references to iconic elements or figures

    oai_token-act-pair · gpt-3.5-turbo

    references to iconic elements, structures, or characters in various contexts

    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
    iless
    -0.89
    ttp
    -0.87
    ©¶æ
    -0.86
    sterdam
    -0.86
    á½
    -0.83
    THER
    -0.83
    mail
    -0.80
    endment
    -0.76
    Bay
    -0.76
    abet
    -0.75
    POSITIVE LOGITS
     iconic
    0.99
     landmarks
    0.95
     personalities
    0.90
     themes
    0.86
     likeness
    0.86
     brands
    0.85
     masc
    0.84
     motif
    0.84
     moments
    0.83
     memorable
    0.82
    Activations Density 0.049%

    No Known Activations