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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. 8-RES-JB
    11. 10097
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    Explanations

    words related to the potential outcomes or impacts of certain actions or events

    oai_token-act-pair · gpt-3.5-turbo

    discussions about the impact of actions or events, particularly related to their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uni
    -0.84
    atown
    -0.74
    yss
    -0.72
    swick
    -0.71
    romy
    -0.70
    inately
    -0.69
    yip
    -0.69
    ramid
    -0.68
    thora
    -0.68
    enged
    -0.67
    POSITIVE LOGITS
     consequences
    1.12
     thereof
    0.96
     repercussions
    0.94
     havoc
    0.90
     fallout
    0.87
    bringer
    0.83
     ramifications
    0.80
     inflicted
    0.79
     consequence
    0.79
     reperc
    0.78
    Activations Density 0.043%

    No Known Activations