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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
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    Explanations

    mentions of the word "Caro"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "aro" and its variations within different 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
    matic
    -0.79
    gling
    -0.78
    mable
    -0.74
    reddits
    -0.72
    mble
    -0.69
    igree
    -0.67
     comprom
    -0.66
    ifier
    -0.65
    matically
    -0.65
    TPPStreamerBot
    -0.64
    POSITIVE LOGITS
    olla
    0.96
    zzi
    0.91
    ë
    0.89
    oga
    0.88
    etta
    0.83
    zza
    0.82
    jo
    0.81
    ques
    0.81
    ahu
    0.79
    zon
    0.79
    Activations Density 0.010%

    No Known Activations