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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. 3-RES-JB
    11. 12119
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    Explanations

    verbs related to achieving tasks or goals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "accomplish" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.75
    reen
    -0.74
    bane
    -0.72
    lights
    -0.70
    otin
    -0.67
     tyres
    -0.65
     chrom
    -0.65
    eros
    -0.64
     rubber
    -0.63
    corn
    -0.63
    POSITIVE LOGITS
     accomplish
    1.00
     accomplished
    0.93
    ments
    0.85
     accompl
    0.82
    iencies
    0.80
    omething
    0.80
     accomplishment
    0.75
    iage
    0.74
    issance
    0.73
    INGS
    0.72
    Activations Density 0.017%

    No Known Activations