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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. 19218
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    INDEX
    Explanations

    phrases related to criticism and evaluation

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and emotional descriptors

    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
    swick
    -0.81
    SHIP
    -0.78
    vation
    -0.77
    asio
    -0.76
    bilt
    -0.76
    upiter
    -0.75
    ospons
    -0.75
    EStream
    -0.74
    UF
    -0.72
    iatrics
    -0.70
    POSITIVE LOGITS
     albeit
    1.00
     huh
    0.93
     but
    0.86
     eh
    0.78
     charismatic
    0.76
     though
    0.75
    sounding
    0.73
     informative
    0.72
     unpredictable
    0.72
     technologically
    0.71
    Activations Density 0.225%

    No Known Activations