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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. 15400
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    INDEX
    Explanations

    terms related to a detailed evaluation or examination process

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the vetting process in various 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
    orius
    -0.90
    ifier
    -0.79
    iple
    -0.74
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.71
     Abyssal
    -0.69
     Ori
    -0.68
     Ow
    -0.68
    orp
    -0.68
     Reign
    -0.67
     1886
    -0.67
    POSITIVE LOGITS
    schild
    1.00
    INTON
    0.89
    crew
    0.87
    estern
    0.86
    ancers
    0.84
    OHN
    0.81
    yip
    0.77
    clinton
    0.77
    alty
    0.75
     vetted
    0.74
    Activations Density 0.033%

    No Known Activations