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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. 3-RES-JB
    11. 24449
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    INDEX
    Explanations

    specific situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various scenarios or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roe
    -0.80
    leaf
    -0.69
    track
    -0.68
    rik
    -0.66
    sonian
    -0.66
    rium
    -0.66
    rotein
    -0.65
     Bones
    -0.64
    head
    -0.64
    raid
    -0.64
    POSITIVE LOGITS
     situations
    1.07
    uations
    1.04
     involving
    0.98
    afety
    0.96
     scenarios
    0.86
     arisen
    0.80
    hooting
    0.80
    peer
    0.79
     arise
    0.78
     contexts
    0.77
    Activations Density 0.021%

    No Known Activations