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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. 5940
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    INDEX
    Explanations

    topics or entities that are the primary focus or center of attention in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    the frequent mention of subjects or topics 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
    each
    -0.74
    #$#$
    -0.68
    vernment
    -0.68
    linux
    -0.67
    emption
    -0.64
    naires
    -0.64
    join
    -0.64
    rodu
    -0.63
    axter
    -0.63
    mares
    -0.63
    POSITIVE LOGITS
     centerpiece
    1.19
     focal
    1.16
     focus
    1.14
     hottest
    1.08
     cornerstone
    1.08
     hallmark
    1.07
     biggest
    1.06
     forefront
    1.06
     subject
    1.05
     darling
    1.05
    Activations Density 0.083%

    No Known Activations