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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. 755
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    Explanations

    mentions of expertise or consultations with experts

    oai_token-act-pair · gpt-3.5-turbo

    references to expert opinions or individuals identified as experts

    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
     Shades
    -0.74
     [|
    -0.71
     Agric
    -0.66
    FACE
    -0.65
    strip
    -0.65
    AAAA
    -0.65
    Lago
    -0.65
     Bom
    -0.64
    reath
    -0.64
    boats
    -0.64
    POSITIVE LOGITS
     consulted
    0.98
    sonian
    0.94
    ulously
    0.88
    inent
    0.82
     opinion
    0.81
     advise
    0.81
    ise
    0.78
    udic
    0.78
    minded
    0.76
    ieth
    0.76
    Activations Density 0.041%

    No Known Activations