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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. 7-RES-JB
    11. 19080
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    Explanations

    words associated with the impact or effects of various events or decisions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the effects and impacts of various conditions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.79
    mberg
    -0.74
    mint
    -0.71
    TIT
    -0.70
    racuse
    -0.70
    ubes
    -0.69
    mbuds
    -0.69
    cellaneous
    -0.68
    REE
    -0.68
    uble
    -0.65
    POSITIVE LOGITS
    effects
    1.12
     impact
    0.92
     impacts
    0.89
    bringer
    0.86
     reverber
    0.84
     effects
    0.84
     fallout
    0.84
    iveness
    0.83
     spill
    0.80
    Effects
    0.79
    Activations Density 0.086%

    No Known Activations