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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. 7-RES-JB
    11. 19307
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    Explanations

    phrases related to obstacles or hindrances

    oai_token-act-pair · gpt-3.5-turbo

    recurring phrases relating to obstacles or impediments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ellow
    -0.69
    phe
    -0.69
    ieth
    -0.68
    antle
    -0.67
    amiya
    -0.66
    ellen
    -0.64
    ever
    -0.64
    overe
    -0.64
    phans
    -0.64
    ek
    -0.64
    POSITIVE LOGITS
     groove
    0.90
     stride
    0.75
     habit
    0.74
     BUS
    0.68
    chwitz
    0.67
     hurry
    0.63
     weeds
    0.63
     ASAP
    0.62
     trouble
    0.62
     constitu
    0.62
    Activations Density 0.203%

    No Known Activations