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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. 11-RES-JB
    11. 3598
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    Explanations

    words related to various types of extracts

    oai_token-act-pair · gpt-3.5-turbo

    components and forms of substances, particularly in the context of food and health products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.70
    ãĤŃ
    -0.67
    «ĺ
    -0.66
    å¸
    -0.65
    Justice
    -0.65
    SSL
    -0.65
    USS
    -0.64
    ĩ
    -0.63
    CLASSIFIED
    -0.63
     WATCHED
    -0.63
    POSITIVE LOGITS
     additives
    1.27
     formulations
    1.26
     conco
    1.25
     powd
    1.22
     glands
    1.15
     formulation
    1.14
     powder
    1.13
     soluble
    1.12
     formulas
    1.11
     capsules
    1.10
    Activations Density 0.177%

    No Known Activations