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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. 7-RES-JB
    11. 13607
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    Explanations

    verbs related to receiving, obtaining, or achieving something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "get" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    velt
    -0.76
     Archdemon
    -0.67
    iege
    -0.66
    apse
    -0.58
    ively
    -0.57
     annex
    -0.56
    ont
    -0.56
    amiya
    -0.55
     Madness
    -0.55
    esian
    -0.53
    POSITIVE LOGITS
     rid
    1.21
    ãĥ³ãĤ¸
    0.92
    cloneembedreportprint
    0.91
    tin
    0.85
     preferential
    0.77
     progressively
    0.76
    TING
    0.76
     underway
    0.76
    DragonMagazine
    0.76
     married
    0.75
    Activations Density 0.124%

    No Known Activations