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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. 3-RES-JB
    11. 11329
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    Explanations

    words related to actions, particularly those ending in '-ative'

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions or processes that involve evaluation or judgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olicited
    -0.92
    owship
    -0.86
    allows
    -0.78
    immer
    -0.75
    IRD
    -0.73
    tower
    -0.73
    abre
    -0.69
    under
    -0.69
    estern
    -0.68
    mouth
    -0.68
    POSITIVE LOGITS
    ative
    1.00
     Warfare
    0.73
    ãĥ¼ãĥĨ
    0.72
     easing
    0.70
     Pwr
    0.68
    atives
    0.67
    ãĥ£
    0.67
     minded
    0.67
     advers
    0.66
     warfare
    0.65
    Activations Density 0.019%

    No Known Activations