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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. 4-RES-JB
    11. 11396
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    INDEX
    Explanations

    proper nouns, particularly locations and names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, organizations, or events

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

    No Comments

    Negative Logits
    artney
    -0.82
    ructure
    -0.71
    apt
    -0.67
     Carth
    -0.66
    eals
    -0.65
    ocytes
    -0.64
    Wo
    -0.64
    ophobia
    -0.64
    ording
    -0.63
    estyles
    -0.63
    POSITIVE LOGITS
    INGTON
    0.87
    Priv
    0.81
    hyde
    0.81
    IRD
    0.79
    flies
    0.79
    hran
    0.75
    \\\\\\\\
    0.73
    hower
    0.72
    wich
    0.72
    =-=-=-=-=-=-=-=-
    0.71
    Activations Density 0.026%

    No Known Activations