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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. 1464
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    Explanations

    phrases indicating comparison or suggestion

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "say" followed by a numerical value

    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
    SourceFile
    -0.81
    lete
    -0.79
    Write
    -0.77
    Äĩ
    -0.74
    quet
    -0.74
    omsky
    -0.70
    RM
    -0.68
    Bind
    -0.67
    vez
    -0.66
    irs
    -0.66
    POSITIVE LOGITS
     dozen
    0.68
     Leilan
    0.67
     Aph
    0.64
     uh
    0.59
     fractions
    0.58
     controlling
    0.57
     Rug
    0.55
    ties
    0.55
     Deg
    0.55
     tapping
    0.55
    Activations Density 0.066%

    No Known Activations