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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. 2-RES-JB
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    Explanations

    words starting with 'mo' with varying degrees of intensity

    oai_token-act-pair · gpt-3.5-turbo

    mention of the term "mo" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICLE
    -0.77
     Integrity
    -0.69
     Identification
    -0.68
     AAP
    -0.66
     UID
    -0.64
    AMS
    -0.62
     Spaces
    -0.62
     Essence
    -0.62
     caution
    -0.62
    IDENT
    -0.61
    POSITIVE LOGITS
    ose
    1.01
    edia
    0.99
    ogle
    0.96
    zilla
    0.93
    obic
    0.93
    astic
    0.89
    pping
    0.88
    veland
    0.86
    onte
    0.86
    ploy
    0.86
    Activations Density 0.007%

    No Known Activations