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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. 18705
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    INDEX
    Explanations

    exclamations expressing surprise or strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or realization

    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
    IUM
    -0.82
    perature
    -0.74
    -+-+
    -0.72
     fullest
    -0.71
    */(
    -0.67
     Construct
    -0.66
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    IAL
    -0.63
    apers
    -0.61
    Introduced
    -0.60
    POSITIVE LOGITS
    hhhh
    1.01
    hh
    0.94
    oho
    0.86
    oy
    0.86
    hhh
    0.86
    anian
    0.86
    oh
    0.86
    umph
    0.85
     dear
    0.82
    warts
    0.79
    Activations Density 0.014%

    No Known Activations