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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. 11337
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    Explanations

    references to a specific physical entity, potentially related to animals or names

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the term "pan," indicating a focus on cooking or cookware

    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
     GEAR
    -0.70
    IDA
    -0.69
     SPORTS
    -0.69
    æ©Ł
    -0.68
    IGH
    -0.67
    IFE
    -0.65
    Lean
    -0.65
     eleph
    -0.64
    çĭ
    -0.64
    åŃ
    -0.64
    POSITIVE LOGITS
    zees
    1.10
    ning
    1.06
    pan
    1.06
    zee
    0.88
    olin
    0.80
    obal
    0.77
    xual
    0.77
    asonic
    0.77
    ned
    0.76
    ocalyptic
    0.75
    Activations Density 0.014%

    No Known Activations