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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. 2958
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    Explanations

    phrases related to doing something for the benefit or interest of something else

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing a rationale or justification for actions or beliefs

    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
     intimidating
    -0.66
     Feld
    -0.62
     helicop
    -0.61
     scanned
    -0.60
     primed
    -0.60
     landscapes
    -0.59
    bor
    -0.58
     hordes
    -0.58
     Letter
    -0.57
    shr
    -0.57
    POSITIVE LOGITS
    SourceFile
    0.93
    urities
    0.91
    atsu
    0.86
    ames
    0.85
     sake
    0.85
    ctuary
    0.84
    peria
    0.83
    £ı
    0.82
    ume
    0.80
    )].
    0.80
    Activations Density 0.010%

    No Known Activations