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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. 4-RES-JB
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    Explanations

    the word "Jag" or "Jaguar" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Jag" or related references

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

    No Comments

    Negative Logits
    lict
    -0.84
    aves
    -0.78
    uctor
    -0.71
    rawn
    -0.67
     tradem
    -0.66
    evil
    -0.65
    overs
    -0.64
    irming
    -0.64
    usions
    -0.64
     competitive
    -0.63
    POSITIVE LOGITS
     Jag
    1.22
    oslav
    0.84
    ernaut
    0.77
    itsch
    0.75
    seys
    0.75
    heid
    0.74
    arna
    0.74
    CU
    0.73
    nl
    0.73
    oslov
    0.72
    Activations Density 0.020%

    No Known Activations