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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. 3-RES-JB
    11. 24173
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    Explanations

    technical terms related to technology, such as "Int" for internet or "intangible"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Int", likely indicating intent or intentionality in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jriwal
    -0.88
    artifacts
    -0.81
    mith
    -0.77
    ¶ħ
    -0.76
    */(
    -0.75
     Gleaming
    -0.74
    éĹĺ
    -0.73
    lling
    -0.72
    yards
    -0.71
    76561
    -0.71
    POSITIVE LOGITS
    ellect
    1.19
    ention
    1.19
    uitive
    1.14
    ensity
    1.13
    ensive
    1.08
    ENTION
    1.00
    ellig
    0.99
    estinal
    0.97
    angible
    0.91
    ended
    0.87
    Activations Density 0.010%

    No Known Activations