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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. 9-RES-JB
    11. 20025
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    Explanations

    words related to directional movement such as 'up' or 'down'

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to movement, particularly upward and downward actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Neg
    -0.60
    aneous
    -0.58
     closure
    -0.58
    ushes
    -0.58
    ãĥİ
    -0.57
     offline
    -0.56
     firsthand
    -0.54
    cius
    -0.54
     scapego
    -0.53
    Í
    -0.53
    POSITIVE LOGITS
    stairs
    1.24
     stairs
    1.10
    river
    0.96
    gradient
    0.92
    rights
    0.89
    stage
    0.85
    grading
    0.84
    court
    0.81
     hill
    0.80
    grades
    0.79
    Activations Density 0.079%

    No Known Activations