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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. 10-RES-JB
    11. 1280
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    INDEX
    Explanations

    phrases related to control and manipulation

    oai_token-act-pair · gpt-3.5-turbo

    actions and conditions related to healthcare or treatment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .#
    -0.88
     everywhere
    -0.83
    ?!
    -0.75
     ain
    -0.74
     forever
    -0.70
     tomorrow
    -0.69
     tonight
    -0.69
    !!!
    -0.68
     eh
    -0.68
    !!!!
    -0.66
    POSITIVE LOGITS
     individuals
    0.91
     participants
    0.90
    avorable
    0.84
     or
    0.80
     respondents
    0.77
     persons
    0.77
     recipients
    0.74
     detainees
    0.72
     users
    0.71
     informants
    0.71
    Activations Density 1.032%

    No Known Activations