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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. 6-RES-JB
    11. 5535
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    Explanations

    terms related to shifts in various contexts, such as work shifts, technological shifts, dietary shifts, and ideological shifts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shift" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.78
    Interstitial
    -0.76
    gom
    -0.74
    amina
    -0.70
    ORED
    -0.68
    gdala
    -0.68
     jug
    -0.67
    CRIP
    -0.65
    DOC
    -0.64
    çĦ
    -0.62
    POSITIVE LOGITS
     shift
    0.98
     shifts
    0.92
     gears
    0.91
    rers
    0.86
     shifting
    0.84
     shif
    0.79
    shift
    0.78
    otom
    0.78
     Shift
    0.78
    over
    0.78
    Activations Density 0.029%

    No Known Activations