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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 1670
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    Explanations

    terms related to maximum values or limits

    oai_token-act-pair · gpt-3.5-turbo

    references to limits or maximums in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Guys
    -0.77
    FORE
    -0.77
     Harbour
    -0.73
     Debor
    -0.71
    ä¸ī
    -0.70
    killer
    -0.69
    fixes
    -0.68
    çīĪ
    -0.67
    ttes
    -0.64
     Bride
    -0.64
    POSITIVE LOGITS
     allowable
    1.30
     permissible
    1.09
     likelihood
    1.08
     achievable
    1.07
    imize
    1.03
     practicable
    1.01
     amount
    0.99
     extent
    0.98
     allowed
    0.97
     possible
    0.97
    Activations Density 0.022%

    No Known Activations