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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. 0-RES-JB
    11. 16603
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    INDEX
    Explanations

    phrases or words related to specific goals or targets

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intentions or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anon
    -0.67
     Ups
    -0.65
     knots
    -0.64
     Chart
    -0.61
     penn
    -0.58
     DEA
    -0.56
     quote
    -0.56
    facts
    -0.56
    ozo
    -0.56
     salt
    -0.56
    POSITIVE LOGITS
     aimed
    3.41
     aiming
    1.90
     geared
    1.72
     intended
    1.72
     designed
    1.63
     focused
    1.57
     aims
    1.55
    Aim
    1.54
     aim
    1.50
     directed
    1.43
    Activations Density 0.010%

    No Known Activations