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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. 12-RES-JB
    11. 3239
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    Explanations

    phrases related to evaluating oneself based on societal standards and experiences

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to social perception and judgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ij士
    -0.86
     millenn
    -0.76
    ãĥ´
    -0.74
    senal
    -0.73
    ñ
    -0.72
    Þ
    -0.71
    ò
    -0.70
    éŃĶ
    -0.69
    Released
    -0.69
    İĭ
    -0.69
    POSITIVE LOGITS
     pity
    1.17
     notice
    1.09
     listen
    1.02
     miscon
    1.01
     admire
    0.97
     misunderstand
    0.97
     hear
    0.95
     accuse
    0.95
     disapprove
    0.93
     recognise
    0.92
    Activations Density 0.384%

    No Known Activations