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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. 2-RES-JB
    11. 15482
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    Explanations

    terms related to baseball leagues categorized by their level, particularly focusing on 'Triple-A' and 'Double-A'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific "Triple" and "Double" series, particularly in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uments
    -0.81
    netflix
    -0.75
    */(
    -0.75
    ä½ľ
    -0.74
    atche
    -0.74
    earance
    -0.73
    ual
    -0.73
    ILA
    -0.72
    auga
    -0.71
    orest
    -0.70
    POSITIVE LOGITS
     Triple
    0.83
    Mania
    0.79
    bum
    0.71
    ty
    0.70
    mania
    0.68
    cold
    0.68
    dden
    0.67
     Era
    0.66
    Store
    0.64
    header
    0.64
    Activations Density 0.008%

    No Known Activations