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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. 6-RES-JB
    11. 14845
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    Explanations

    phrases related to close comparisons or near matches

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to proximity or nearness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĵĺ
    -0.70
    ãĥ¼ãĥĨãĤ£
    -0.69
    mA
    -0.68
    AIN
    -0.67
     Lieberman
    -0.66
    ãĤ¸
    -0.66
    udeb
    -0.66
    rain
    -0.65
    ica
    -0.65
    uria
    -0.65
    POSITIVE LOGITS
    sighted
    1.03
     minded
    0.89
     enough
    0.84
     proximity
    0.81
     thereto
    0.73
    enough
    0.73
     resemblance
    0.72
    paren
    0.72
     neighbours
    0.71
    itiveness
    0.68
    Activations Density 0.029%

    No Known Activations