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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. 1097
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    Explanations

    verbs relating to completing tasks or achieving goals

    oai_token-act-pair · gpt-3.5-turbo

    words related to accomplishment and success

    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
    osate
    -0.96
    )=(
    -0.81
    olson
    -0.71
    bane
    -0.70
    ozo
    -0.66
    oult
    -0.65
    lights
    -0.62
    creen
    -0.62
    otin
    -0.61
    den
    -0.61
    POSITIVE LOGITS
    ishing
    0.96
    ishment
    0.91
    ience
    0.87
    ments
    0.86
    iences
    0.81
     accompl
    0.81
    ishes
    0.79
    ment
    0.79
    ives
    0.76
    mentation
    0.76
    Activations Density 0.062%

    No Known Activations