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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. 20620
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    Explanations

    informational phrases with URLs

    oai_token-act-pair · gpt-3.5-turbo

    references to requests for more information or details

    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
    cffffcc
    -0.83
    bably
    -0.81
    cept
    -0.68
    phies
    -0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
    wagon
    -0.65
    ¶ħ
    -0.64
    itone
    -0.63
     forgiven
    -0.61
    tein
    -0.61
    POSITIVE LOGITS
     topics
    0.79
    <|endoftext|>
    0.79
     related
    0.75
     topic
    0.72
     upcoming
    0.72
     workings
    0.72
     .)
    0.67
     formats
    0.66
     sponsor
    0.66
    ocations
    0.65
    Activations Density 0.433%

    No Known Activations