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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. 10-RES-JB
    11. 23265
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    Explanations

    phrases indicating continuation or further elaboration in a series or list

    oai_token-act-pair · gpt-3.5-turbo

    the word "so" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLOSE
    -0.67
     Cree
    -0.66
    gnu
    -0.62
     Dealer
    -0.61
    ZE
    -0.60
     Moose
    -0.59
    ãĥ¯ãĥ³
    -0.57
     Lobby
    -0.57
     Danger
    -0.55
     haz
    -0.53
    POSITIVE LOGITS
     forth
    1.92
    forth
    1.07
    oths
    1.03
    othe
    1.02
    apy
    1.01
    bered
    0.89
    othes
    0.85
     Forth
    0.80
    arin
    0.80
    orah
    0.79
    Activations Density 0.026%

    No Known Activations