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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. 14453
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    INDEX
    Explanations

    phrases mentioning a specific type of categorization or classification

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases indicating types or categories

    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
    kefeller
    -0.75
    HAEL
    -0.70
    ULTS
    -0.69
    LAN
    -0.66
    interrupted
    -0.65
    amba
    -0.65
    MEN
    -0.63
    erald
    -0.63
    anyon
    -0.63
    BAT
    -0.63
    POSITIVE LOGITS
    ative
    0.81
    ãĤ¦ãĤ¹
    0.79
    entially
    0.74
    phabet
    0.72
    able
    0.70
    ically
    0.69
    oscope
    0.67
    atively
    0.67
     attm
    0.65
    guided
    0.65
    Activations Density 0.020%

    No Known Activations