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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. 6-RES-JB
    11. 9737
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    Explanations

    phrases related to sports positions

    oai_token-act-pair · gpt-3.5-turbo

    words related to positions and roles in sports

    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
    gur
    -0.86
    insula
    -0.69
    ORY
    -0.69
    anson
    -0.69
    angan
    -0.69
    forestation
    -0.68
    rador
    -0.67
    ellar
    -0.66
    é¾
    -0.65
    nce
    -0.65
    POSITIVE LOGITS
     extraord
    1.01
     stationed
    0.77
     clad
    0.76
     who
    0.74
    hawks
    0.72
     whom
    0.69
    bane
    0.67
     playing
    0.67
     Adin
    0.66
     Scouts
    0.66
    Activations Density 0.111%

    No Known Activations