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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
    11. 1629
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to pricing and valuation

    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
    vous
    -0.83
     Takeru
    -0.67
    enegger
    -0.66
    clerosis
    -0.65
    DCS
    -0.64
    SUP
    -0.63
    lust
    -0.63
    ometown
    -0.63
    hole
    -0.61
    LAN
    -0.61
    POSITIVE LOGITS
    ¶æ
    0.82
     priced
    0.81
    ¿½
    0.78
     ducks
    0.78
     peanuts
    0.76
     veter
    0.72
     ident
    0.71
     %%
    0.71
     corrid
    0.69
    inarily
    0.68
    Activations Density 0.040%

    No Known Activations