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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. 19066
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    Explanations

    specific measurements or values in millimeters or other units, such as time intervals

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and precise measurements

    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
    ijah
    -0.67
    assic
    -0.63
     lobb
    -0.61
    furt
    -0.61
     preservation
    -0.61
     youth
    -0.60
    achus
    -0.59
     battered
    -0.59
    antis
    -0.57
    ayn
    -0.57
    POSITIVE LOGITS
    ohm
    0.87
    125
    0.86
    000000
    0.84
    -.
    0.82
    3333
    0.80
    00000000
    0.73
     Squadron
    0.71
    %%
    0.71
    9999
    0.70
    ignore
    0.68
    Activations Density 0.045%

    No Known Activations