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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. 9-RES-JB
    11. 8628
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    INDEX
    Explanations

    phrases related to importance or key points

    oai_token-act-pair · gpt-3.5-turbo

    the significance of certain concepts or ideas emphasized throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otte
    -0.75
    akeru
    -0.71
    bush
    -0.71
    isco
    -0.69
    ebted
    -0.66
    successfully
    -0.64
    ili
    -0.63
    illon
    -0.63
    packages
    -0.62
     coincides
    -0.62
    POSITIVE LOGITS
     hallmark
    1.26
     gist
    1.20
     easiest
    1.19
     essence
    1.15
     norm
    1.14
     biggest
    1.13
     hardest
    1.13
    oret
    1.13
     simplest
    1.10
     implication
    1.08
    Activations Density 0.121%

    No Known Activations