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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. 11-RES-JB
    11. 20943
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    INDEX
    Explanations

    references to specific numerical values within a range

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to age demographics and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ooters
    -0.55
    Variable
    -0.54
    ailability
    -0.53
     behavi
    -0.53
    illery
    -0.53
    edIn
    -0.51
     notor
    -0.51
     Trog
    -0.50
     conduc
    -0.50
    errors
    -0.49
    POSITIVE LOGITS
     thru
    1.18
    -$
    1.17
     onwards
    1.16
    –
    1.15
    %-
    1.14
     through
    1.07
     onward
    1.02
     to
    0.99
    âĢij
    0.92
     till
    0.91
    Activations Density 0.356%

    No Known Activations