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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2576
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    Explanations

    specific references to particular items or elements

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific item or concept indicated by the word "particular"

    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
    IDS
    -0.80
    lyn
    -0.70
    OST
    -0.69
    ÅĤ
    -0.68
    bane
    -0.68
    IR
    -0.66
    glass
    -0.66
    USD
    -0.66
    board
    -0.65
    ORTS
    -0.65
    POSITIVE LOGITS
    ties
    0.99
    ities
    0.93
     embodiments
    0.84
     identifiable
    0.82
    iates
    0.82
     kinds
    0.81
    wcs
    0.78
    gradient
    0.77
    ised
    0.77
    abulary
    0.75
    Activations Density 0.016%

    No Known Activations