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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. 7-RES-JB
    11. 256
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    INDEX
    Explanations

    phrases related to fighting or combat sports

    oai_token-act-pair · gpt-3.5-turbo

    instances of "Fight" followed by a number, specifically related to UFC events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essage
    -0.84
     Seym
    -0.84
    eus
    -0.71
    ixel
    -0.71
    pex
    -0.68
    icum
    -0.68
    ocument
    -0.66
    Ire
    -0.66
    ridges
    -0.65
    assy
    -0.64
    POSITIVE LOGITS
    fighting
    0.89
     against
    0.87
    fighters
    0.84
    fights
    0.81
    mong
    0.77
    fight
    0.77
    night
    0.77
     chore
    0.73
    bowl
    0.72
    Scene
    0.70
    Activations Density 0.032%

    No Known Activations