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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. 20837
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    INDEX
    Explanations

    words related to excelling or thriving

    oai_token-act-pair · gpt-3.5-turbo

    terms related to excellence or high performance

    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
    alien
    -0.81
     residue
    -0.64
     Stockholm
    -0.62
    netflix
    -0.62
    office
    -0.62
    Closure
    -0.60
    OH
    -0.60
    esthetic
    -0.59
    Phase
    -0.58
    gone
    -0.58
    POSITIVE LOGITS
     tremend
    1.03
    spect
    0.84
    lete
    0.84
    ieve
    0.81
    ieved
    0.79
    antly
    0.75
    ionage
    0.75
    ingu
    0.74
    ously
    0.74
    iculty
    0.72
    Activations Density 0.048%

    No Known Activations