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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. 23135
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    Explanations

    words related to possession or ownership

    oai_token-act-pair · gpt-3.5-turbo

    references to conditional situations or requirements

    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
    WARD
    -0.80
    haps
    -0.71
     Cosponsors
    -0.65
    wards
    -0.64
    GET
    -0.63
    furt
    -0.62
    ados
    -0.61
    advertising
    -0.61
    eeper
    -0.60
    ctors
    -0.59
    POSITIVE LOGITS
     installed
    1.21
     figured
    1.16
     nailed
    1.05
     ready
    1.04
     pegged
    1.03
     lined
    1.01
     handy
    1.00
     circled
    0.99
     hooked
    0.98
     engraved
    0.95
    Activations Density 0.355%

    No Known Activations