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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. 4-RES-JB
    11. 4770
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    Explanations

    names and terms related to individuals, especially those with the name "Haf" and variations of "cliffe"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and names associated with events or discussions

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

    No Comments

    Negative Logits
    ation
    -0.87
    etsk
    -0.83
    secut
    -0.82
    itive
    -0.81
    ately
    -0.76
    phabet
    -0.75
    ersion
    -0.75
    ichick
    -0.74
    tarians
    -0.74
    arest
    -0.72
    POSITIVE LOGITS
     Jinn
    0.86
     Haf
    0.80
    RIP
    0.76
    ripp
    0.73
    adish
    0.72
    oning
    0.72
    EV
    0.72
    thin
    0.70
    mad
    0.70
     Carbuncle
    0.70
    Activations Density 0.024%

    No Known Activations