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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. 10636
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    Explanations

    names containing the syllable "vo"

    oai_token-act-pair · gpt-3.5-turbo

    the word "vo" likely referencing visual or audiovisual elements

    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
    Else
    -0.76
    taker
    -0.71
     iPads
    -0.68
     Arrows
    -0.67
     SPACE
    -0.66
    papers
    -0.64
     towels
    -0.64
     abiding
    -0.63
    İĭ
    -0.63
     foundations
    -0.63
    POSITIVE LOGITS
    orde
    1.00
    vo
    0.90
    onte
    0.89
    pload
    0.88
    apor
    0.87
    ile
    0.86
    VO
    0.86
    oice
    0.84
    ilo
    0.83
    irus
    0.81
    Activations Density 0.005%

    No Known Activations