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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. 1-RES-JB
    11. 5489
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    Explanations

    the phrase "Stand Up" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "Stand" in various contexts, particularly related to social movements or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eded
    -0.74
    odore
    -0.72
    plete
    -0.68
    ured
    -0.66
    thodox
    -0.66
    rez
    -0.66
    versely
    -0.65
     medial
    -0.65
    pleting
    -0.63
     Jav
    -0.63
    POSITIVE LOGITS
    Stand
    1.01
    ings
    1.01
    still
    0.98
     Stand
    0.92
    atoon
    0.82
     Pos
    0.76
    hold
    0.76
    pole
    0.73
    pipe
    0.73
    watch
    0.72
    Activations Density 0.007%

    No Known Activations