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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. 15189
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    INDEX
    Explanations

    word stems related to captivating or captivating-related actions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "capt" and its variations related to capture or seizures

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Tend
    -0.69
     Shattered
    -0.68
     Centauri
    -0.68
     onwards
    -0.65
     inclined
    -0.64
    Reloaded
    -0.64
     reconciliation
    -0.63
     trust
    -0.63
     Carnegie
    -0.62
     prone
    -0.61
    POSITIVE LOGITS
    ains
    1.20
    aining
    1.20
    ivating
    1.19
    ained
    1.18
    ions
    1.13
    ivated
    1.09
    oise
    1.06
    iors
    1.04
    ilage
    1.00
    Capt
    1.00
    Activations Density 0.027%

    No Known Activations