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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. 11181
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    Explanations

    phrases related to detailed analysis or categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detailed analyses or explanations of various subjects

    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
    Shar
    -0.75
    qua
    -0.74
    ñ
    -0.73
    eno
    -0.71
    esthetic
    -0.71
    adding
    -0.68
    Guard
    -0.66
    ña
    -0.66
    jong
    -0.66
    geon
    -0.65
    POSITIVE LOGITS
     breakdown
    1.19
    DOWN
    0.87
    sie
    0.83
     conversions
    0.80
     arrangements
    0.71
    rates
    0.69
    PsyNetMessage
    0.65
     tables
    0.65
     arrang
    0.65
     overview
    0.65
    Activations Density 0.006%

    No Known Activations