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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. 22516
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    Explanations

    words related to sports, particularly baseball terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to strikes and their variations in sports 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
    ħĭ
    -0.86
    regon
    -0.85
    adian
    -0.79
    ŀ
    -0.79
    opher
    -0.74
    ophers
    -0.72
    hemy
    -0.71
    maxwell
    -0.71
    anson
    -0.70
    umption
    -0.69
    POSITIVE LOGITS
    breakers
    1.05
    force
    1.02
     strike
    0.86
    fighters
    0.84
     force
    0.83
    outs
    0.82
    ters
    0.82
    out
    0.81
     strikes
    0.81
    ting
    0.80
    Activations Density 0.022%

    No Known Activations