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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. 9-RES-JB
    11. 3045
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    Explanations

    phrases related to specific designations or classifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classifications and designations of organizations, areas, and states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĦ
    -0.74
    dos
    -0.71
     pregnancies
    -0.67
    abella
    -0.65
    bats
    -0.64
     ceilings
    -0.64
    croft
    -0.62
    ilde
    -0.61
    otin
    -0.60
    irin
    -0.60
    POSITIVE LOGITS
     unto
    0.97
     akin
    0.91
    ifier
    0.85
     worthy
    0.84
     devoid
    0.77
     requiring
    0.76
     deserving
    0.76
    ainment
    0.72
     affair
    0.72
     attracting
    0.71
    Activations Density 0.302%

    No Known Activations