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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. 0-RES-JB
    11. 18830
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    INDEX
    Explanations

    words related to objects used for eating or work, such as 'fork'

    oai_token-act-pair · gpt-3.5-turbo

    references to "forks" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lon
    -0.76
     Ibrahim
    -0.71
    iques
    -0.70
     Influ
    -0.69
    nces
    -0.67
    aud
    -0.66
    reet
    -0.66
    rices
    -0.65
    lv
    -0.65
    olph
    -0.64
    POSITIVE LOGITS
     fork
    4.18
     forks
    3.22
     Fork
    2.89
    fork
    2.75
     spoon
    1.06
     chop
    1.04
     clone
    1.01
     slic
    1.00
    Chain
    0.96
     knife
    0.94
    Activations Density 0.016%

    No Known Activations