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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
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ths
    -0.75
    ãĤ¡
    -0.75
    wagen
    -0.70
    iste
    -0.69
    tainment
    -0.68
    alist
    -0.67
    acters
    -0.66
     Fenrir
    -0.66
    ÃŃs
    -0.66
    intendo
    -0.66
    POSITIVE LOGITS
    RIP
    1.13
    MAC
    1.12
    ADA
    1.10
    IED
    1.09
    MY
    1.08
    DAQ
    1.06
    CHA
    1.06
    PLE
    1.05
    URE
    1.04
    ANGE
    1.03
    Activations Density 0.025%

    No Known Activations