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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. 549
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    Explanations

    terms related to positions in sports teams, particularly the starting position

    oai_token-act-pair · gpt-3.5-turbo

    references to "starting" positions in various contexts

    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
    itsch
    -0.93
    eely
    -0.92
    ega
    -0.84
    ably
    -0.82
    ingly
    -0.81
    idon
    -0.81
    agy
    -0.79
    entimes
    -0.77
    edy
    -0.77
    cedented
    -0.77
    POSITIVE LOGITS
     XI
    0.87
     salaries
    0.86
     salary
    0.75
     point
    0.75
     pains
    0.75
     pitcher
    0.75
     position
    0.74
     eleven
    0.72
     flame
    0.72
     occupation
    0.70
    Activations Density 0.024%

    No Known Activations