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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. 8-RES-JB
    11. 993
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    Explanations

    phrases related to observation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "see" with various contexts of agreement or positivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bee
    -0.72
    iera
    -0.71
    alone
    -0.68
     proble
    -0.67
    uez
    -0.65
    ÃŃa
    -0.65
    é¾
    -0.64
    orage
    -0.64
    ieri
    -0.63
    fur
    -0.63
    POSITIVE LOGITS
    enance
    0.87
     someone
    0.71
     him
    0.67
     them
    0.67
     parallels
    0.66
     somebody
    0.66
     PSU
    0.66
     how
    0.65
    terson
    0.65
    dogs
    0.63
    Activations Density 0.070%

    No Known Activations