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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. 20057
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    Explanations

    the word "adamant" or related to strong convictions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to strong opinions or persistent positions

    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
    Tu
    -0.84
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.82
    advertising
    -0.80
    PE
    -0.74
    check
    -0.72
    fits
    -0.72
    beh
    -0.71
    FILE
    -0.71
    gets
    -0.71
    inkle
    -0.71
    POSITIVE LOGITS
     shards
    0.79
     pent
    0.75
    inian
    0.74
    alian
    0.73
     hammer
    0.73
    odic
    0.72
    emic
    0.72
    iasis
    0.71
     pole
    0.71
    heon
    0.70
    Activations Density 0.032%

    No Known Activations