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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18340
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    Explanations

    terms related to user interactions and functionality in an app or platform

    oai_token-act-pair · gpt-3.5-turbo

    user interactions and activities within digital platforms or applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.76
     fuckin
    -0.64
    laughter
    -0.63
    RIP
    -0.60
    lon
    -0.60
     blah
    -0.60
    jah
    -0.59
    Defense
    -0.58
    Very
    -0.58
    amation
    -0.58
    POSITIVE LOGITS
     themselves
    1.15
     their
    1.00
     anonymously
    0.89
     avatar
    0.88
    selves
    0.85
    their
    0.82
     selves
    0.81
    UGC
    0.76
     individually
    0.74
    earable
    0.73
    Activations Density 0.701%

    No Known Activations