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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. 22075
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    Explanations

    strong emotions or opinions expressed in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'f'

    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
     Bots
    -0.66
     bots
    -0.65
     execution
    -0.63
     messenger
    -0.61
     fringe
    -0.61
     Nieto
    -0.61
     FAR
    -0.61
     cannabin
    -0.61
     fractions
    -0.61
     mark
    -0.60
    POSITIVE LOGITS
    urther
    1.63
    rozen
    1.51
    amiliar
    1.51
    avorable
    1.45
    ederal
    1.44
    inally
    1.42
    requently
    1.41
    eatured
    1.40
    ocusing
    1.39
    ortunate
    1.39
    Activations Density 0.026%

    No Known Activations