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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
    11. 11281
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    Explanations

    words related to the concept of "osphere" and "pace"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various "spheres" or "spaces" in a metaphorical or thematic context

    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
    abet
    -0.69
    inez
    -0.67
     glim
    -0.65
    aryl
    -0.65
    awaru
    -0.65
    aria
    -0.65
    ravings
    -0.64
     burdens
    -0.64
     corrid
    -0.64
    ADRA
    -0.63
    POSITIVE LOGITS
    phrine
    0.96
    lihood
    0.88
    urs
    0.84
    osphere
    0.80
    lette
    0.76
    icz
    0.73
    ï¸
    0.71
     Unleashed
    0.69
    itals
    0.67
     Reloaded
    0.67
    Activations Density 0.024%

    No Known Activations