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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. 1943
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    Explanations

    chemical concentrations and levels in biological contexts

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measurements related to chemical concentrations and levels in a biological context

    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
    udeb
    -0.83
    fare
    -0.79
     pawn
    -0.73
    gerald
    -0.73
    credit
    -0.67
    Untitled
    -0.67
    Boss
    -0.66
     Calder
    -0.66
    uay
    -0.66
    Job
    -0.66
    POSITIVE LOGITS
     detectable
    1.14
     concentrations
    1.02
     ingested
    1.00
     antibodies
    0.98
     soluble
    0.90
     toxin
    0.89
     ammonia
    0.88
     antibody
    0.87
     concentration
    0.87
     diluted
    0.86
    Activations Density 0.085%

    No Known Activations