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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. 6-RES-JB
    11. 4407
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    Explanations

    words related to various physical objects or actions, particularly those related to mechanics or environmental elements

    oai_token-act-pair · gpt-3.5-turbo

    words that consist of single letters or abbreviations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transitional
    -0.71
    çĭ
    -0.71
    è£ħ
    -0.70
    Wan
    -0.64
     Human
    -0.63
     Rabbit
    -0.63
    stellar
    -0.63
    ãģ®éŃĶ
    -0.63
     Sr
    -0.63
    ãĥĥãĥī
    -0.61
    POSITIVE LOGITS
    akery
    1.00
    ifts
    0.96
    acker
    0.96
    oths
    0.94
    uffs
    0.93
    urd
    0.92
    utters
    0.92
    ords
    0.90
    aults
    0.90
    aders
    0.89
    Activations Density 0.097%

    No Known Activations