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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. 1-RES-JB
    11. 22774
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    INDEX
    Explanations

    mentions of contributions or contrasting ideas in a text

    oai_token-act-pair · gpt-3.5-turbo

    words related to content or controversial topics, particularly emphasizing discussions around contrasting views

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -1.08
    Downloadha
    -0.95
    Reviewer
    -0.84
    STER
    -0.82
    manship
    -0.76
    senal
    -0.76
    terday
    -0.75
    ħĭ
    -0.73
    aughs
    -0.71
    76561
    -0.68
    POSITIVE LOGITS
    ributed
    1.16
    ribution
    1.15
    ainment
    1.13
    ribute
    1.03
    rast
    1.02
    ribut
    1.00
    roversial
    0.98
    rad
    0.97
    ainers
    0.96
    rovers
    0.94
    Activations Density 0.009%

    No Known Activations