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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5723
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    Explanations

    written statements that introduce a new point or emphasize a specific action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate questions or prompts for further discussion

    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
    anchester
    -0.75
    ignt
    -0.66
     softened
    -0.66
    daq
    -0.65
    rican
    -0.64
    emies
    -0.63
     certific
    -0.63
    byter
    -0.62
     neighb
    -0.61
     manoeuv
    -0.60
    POSITIVE LOGITS
     namely
    1.16
     Cosmos
    0.78
    INS
    0.73
    0000000000000000
    0.67
    ãĢij
    0.66
    TEXTURE
    0.66
    BOOK
    0.65
    ENGTH
    0.64
     graphene
    0.63
    roma
    0.62
    Activations Density 0.378%

    No Known Activations