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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. 22979
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    INDEX
    Explanations

    words related to negative sentiments or disappointments

    oai_token-act-pair · gpt-3.5-turbo

    references to summer and mourning themes

    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
    RAW
    -0.81
    PLA
    -0.78
    ICLE
    -0.76
    Japanese
    -0.76
    avorite
    -0.71
    Cu
    -0.71
    İĭ
    -0.70
    ect
    -0.65
     untreated
    -0.64
    eval
    -0.64
    POSITIVE LOGITS
    ummer
    0.99
    sburg
    0.80
    swer
    0.79
    ity
    0.79
    ming
    0.77
    mers
    0.77
     Coliseum
    0.74
    theless
    0.73
    fest
    0.73
    ites
    0.73
    Activations Density 0.010%

    No Known Activations