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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. 9-RES-JB
    11. 7231
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    Explanations

    words related to pickling or preserving food

    oai_token-act-pair · gpt-3.5-turbo

    references to objects or items associated with "picking up" or selecting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CTV
    -0.75
    âĸ¬
    -0.68
    Sea
    -0.68
    DEBUG
    -0.68
    isf
    -0.67
    english
    -0.65
    ORED
    -0.65
    BAT
    -0.63
     Presence
    -0.62
     TAG
    -0.61
    POSITIVE LOGITS
    axe
    1.38
    pocket
    1.34
    eting
    1.16
    eters
    1.09
    ety
    0.98
    aign
    0.96
    ozy
    0.96
    ering
    0.95
    ups
    0.94
    ett
    0.90
    Activations Density 0.047%

    No Known Activations