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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. 13425
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    Explanations

    time-related events

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or significant dates

    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
    emia
    -0.65
    edge
    -0.64
    ahu
    -0.64
     purs
    -0.62
    actions
    -0.60
    ACTION
    -0.59
    ĵĺ
    -0.58
    ique
    -0.58
    Face
    -0.58
    edom
    -0.57
    POSITIVE LOGITS
     onwards
    0.90
    imester
    0.78
    ategory
    0.77
    bernatorial
    0.71
     Jal
    0.65
    BuyableInstoreAndOnline
    0.64
    isode
    0.64
    released
    0.64
    APTER
    0.63
    apters
    0.63
    Activations Density 0.828%

    No Known Activations