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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. 2-RES-JB
    11. 8073
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    Explanations

    terms related to the concept of waves

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "weight" or "heaviness."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.68
    Orig
    -0.68
    obi
    -0.67
    gets
    -0.66
    iqu
    -0.66
    PF
    -0.65
    wit
    -0.63
    Score
    -0.63
    Asset
    -0.62
    Monster
    -0.61
    POSITIVE LOGITS
    ansk
    0.86
    avy
    0.80
    aways
    0.77
    degree
    0.76
    \-
    0.74
    anka
    0.73
    agall
    0.72
    Ļ½
    0.71
    _-
    0.71
    gyn
    0.68
    Activations Density 0.033%

    No Known Activations