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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. 6-RES-JB
    11. 839
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Guggenheim"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     compr
    -0.70
    peak
    -0.69
     Leilan
    -0.66
     Mub
    -0.65
     wards
    -0.64
    cape
    -0.63
     choking
    -0.63
    yss
    -0.62
     targ
    -0.60
     compensated
    -0.60
    POSITIVE LOGITS
    glers
    1.59
    ged
    1.29
    ging
    1.27
    gery
    1.24
    uese
    1.23
    uay
    1.16
    gers
    1.13
    ger
    1.06
    nant
    0.96
    ular
    0.92
    Activations Density 0.024%

    No Known Activations