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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. 1976
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    Explanations

    university and college names

    oai_token-act-pair · gpt-3.5-turbo

    specific university names

    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
    ococ
    -0.80
    683
    -0.79
    679
    -0.77
    690
    -0.76
    685
    -0.75
    69
    -0.73
    691
    -0.72
    ols
    -0.72
    684
    -0.71
    ãĥĻ
    -0.68
    POSITIVE LOGITS
    dor
    1.19
    DM
    1.17
    DE
    1.13
    D
    1.13
    DD
    1.11
    dt
    1.10
    dl
    1.10
     DD
    1.10
    dm
    1.09
    der
    1.09
    Activations Density 0.595%

    No Known Activations