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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. 4634
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    Explanations

    terms related to describing circumstances or situations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to circumstances and challenges in various contexts

    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
     Nun
    -0.73
     Murd
    -0.72
     Tau
    -0.69
     Patton
    -0.67
     Cure
    -0.65
     TTC
    -0.64
     bestselling
    -0.64
     RCMP
    -0.62
     Plate
    -0.62
     Correctional
    -0.62
    POSITIVE LOGITS
    azo
    0.85
    idious
    0.82
    lems
    0.82
    oult
    0.79
     existed
    0.78
    het
    0.78
    ails
    0.76
    roman
    0.75
    unctions
    0.74
    ult
    0.73
    Activations Density 0.097%

    No Known Activations