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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
    11. 18841
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    Explanations

    phrases containing specific names or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names and terms that are likely associated with significant entities or events

    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
     [+
    -0.76
    values
    -0.73
    PET
    -0.73
    ONSORED
    -0.72
    anmar
    -0.70
    TPPStreamerBot
    -0.69
    BILITIES
    -0.69
    ð
    -0.68
    psons
    -0.68
    ãģĦ
    -0.65
    POSITIVE LOGITS
     Et
    1.05
    iquette
    0.98
    ihad
    0.97
    alia
    0.97
    roit
    0.92
    obic
    0.88
    udes
    0.85
    ablished
    0.83
     seq
    0.83
    ues
    0.82
    Activations Density 0.007%

    No Known Activations