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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. 6-RES-JB
    11. 17687
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    INDEX
    Explanations

    references to consequences or costs

    oai_token-act-pair · gpt-3.5-turbo

    references to costs or prices related to various situations or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riter
    -0.93
    intend
    -0.90
    dayName
    -0.90
    ript
    -0.76
    oday
    -0.75
     [|
    -0.73
    swick
    -0.71
    amily
    -0.71
    umbn
    -0.70
    ismo
    -0.70
    POSITIVE LOGITS
     incurred
    0.84
     inflicted
    0.83
     casualties
    0.80
     sacrifice
    0.77
     costly
    0.76
     insurers
    0.76
     billions
    0.75
     losses
    0.74
     defeat
    0.74
     damage
    0.73
    Activations Density 0.102%

    No Known Activations